Creation of ready-to-share figures of differential expression analyses of count data. It integrates some of the code mentioned in DESeq2 and edgeR vignettes, and report a ranked list of genes according to the fold changes mean and variability for each selected gene.
Package details |
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Bioconductor views | DifferentialExpression GeneExpression ImmunoOncology RNASeq ReportWriting Visualization |
Maintainer | Lorena Pantano <lorena.pantano@gmail.com> |
License | MIT + file LICENSE |
Version | 1.39.6 |
URL | http://lpantano.github.io/DEGreport/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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